Structured support vector machine

Known as: Structured SVM 
The structured support vector machine is a machine learning algorithm that generalizes the Support Vector Machine (SVM) classifier. Whereas the SVM… (More)
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Topic mentions per year

2005-2017
0204020052017

Papers overview

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2017
2017
How to build a robust and accurate appearance model is a crucial problem in object tracking. However, in most existing tracking… (More)
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2016
2016
In structured prediction, it is standard procedure to discriminatively train a single model that is then used to make a single… (More)
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2014
2014
Discriminative training criteria and discriminative models are two ešective improvements for HMM-based speech recognition. is… (More)
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2014
2014
Discriminative models, like support vector machines (SVMs), have been successfully applied to speech recognition and improved… (More)
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2013
2013
This paper presents a supervised approach for extractive summarization of spoken document considering utterance clusters in the… (More)
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2013
2013
Supervised approaches can learn a spoken document summarizer generating high-quality summaries using a set of training examples… (More)
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2012
2012
In extractive spoken document summarization, it is desired to select important utterances from documents to construct the summary… (More)
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2010
2010
Structured Support Vector Machine (SVM) is a recently developed extension of the very successful SVM approach, which can… (More)
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2008
2008
We present a random field based model for stereo vision with explicit occlusion labeling in a probabilistic framework. The model… (More)
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2005
2005
Support vector machines (SVMs) have gained wide acceptance because of the high generalization ability for a wide range of pattern… (More)
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